Current Contents

7: Mixed-Model and Bayesian Analysis of Short-term Selection Experiments

• Mixed model vs. Least Squares Analysis
  • Basics of mixed-model analysis
  • REML estimation of unknown variance components
• Animal-model analysis of selection experiments
  • The relationship matrix A accounts for drift and disequilibrium
  • Model validation
• Modifications of the Basic Animal Model
  • Seperating genetic and environmental trends
  • Models with additional random effects
  • Treating certain breeding values as fixed effects
  • Estimating the additive variance at generation t
  • Incorporating nonadditive genetic variances
• Bayesian Analysis of Selection Experiments
  • Introduction to Bayesian statistics
  • The Gibbs Sampler
  • Using the Gibbs Sampler to Approximate Marginal Distributions
  • The Method of Sorensen, Wang, Jensen, and Gianola
  • Application: Estimating Response in Pig Litter Size Components

PDF versions of a recent draft of this chapter are available. Feel free to use this for personal and/or class use until the book is available. Please note that these are copyrighted and that I would greatly appreciate feedback . Note that while the screen view can look funny in places, the printed output is fine.

• Chapter 7 PDF file ( v. 25 May 1999 ): (578K)

WWW pages and Programs

• Bayesian Inference Using Gibbs Sampling the BUGS program. BUGS is a piece of computer software for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. It grew from a statistical research project at the MRC Biostatistics Unit, but now is developed jointly with the Imperial College School of Medicine at St Mary's, London.

• MCMC Preprint Service. Preprints and MCMC (Markov Chain Monte Carlo) program links.

• Markov Chain Monte Carlo Diagnostics. Reviews of the current diagnostic methods testing for convergence.

Home Pages: [ Volume One ] - [ Volume Two ] - [ What's new ] - [ Book]

Bruce Walsh. jbwalsh@u.arizona.edu . Comments welcome.